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Meta Llama 3 8B Instruct FP8 KV by neuralmagic

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Meta Llama 3 8B Instruct FP8 KV Benchmarks

LLME Score: 0.28457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3 8B Instruct FP8 KV Parameters and Internals

LLM NameMeta Llama 3 8B Instruct FP8 KV
Repository 🤗https://huggingface.co/neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV 
Model Size8b
Required VRAM9.1 GB
Updated2024-09-18
Maintainerneuralmagic
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 8B Instruct FP8 KV (neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV)

Quantized Models of the Meta Llama 3 8B Instruct FP8 KV

Model
Likes
Downloads
VRAM
Meta Llama 3 8B Instruct GPTQ38715 GB
Meta Llama 3 8B Instruct 8bit059 GB
Meta Llama 3 8B Instruct GPTQ055 GB
...ta Llama 3 8B Instruct GPTQ 8B089 GB
Meta Llama 3 8B Instruct GPTQ135 GB
Meta Llama 3 8B Instruct 8bit3699 GB
Meta Llama 3 8B Instruct GPTQ065 GB
Meta Llama 3 8B Instruct GGUF1114 GB
Meta Llama 3 8B Instruct GPTQ065 GB

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... Instruct Gradient 1048K Agent1024K / 16.1 GB171
Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV.

Rank the Meta Llama 3 8B Instruct FP8 KV Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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